Paper No: 54
A Batch Algorithm for Blind Source Separation of Acoustic Signals using ICA and Time-Frequency Mask
Author(s): Eugen Hoffmann, Dorothea Kolossa, Reinhold Orglmeister
The Problem of Blind Source Separation (BSS) of convolved
acoustic signals is of great interest for many classes of applications such
as in-car speech recognition, hands-free telephony or hearing devices. Due
to the convolutive mixing process, the source separation is performed in
the frequency domain, using Independent Component Analysis (ICA).
However the quality of solution of the ICA-algorithms can be improved
by applying time-frequency masking. In this paper we present a batch-algorithm
for time-frequency masking using the time-frequency structure
of separated signals.